CN104695950B - Volcanic Reservoir PRODUCTION FORECASTING METHODS - Google Patents
Volcanic Reservoir PRODUCTION FORECASTING METHODS Download PDFInfo
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- CN104695950B CN104695950B CN201410604885.6A CN201410604885A CN104695950B CN 104695950 B CN104695950 B CN 104695950B CN 201410604885 A CN201410604885 A CN 201410604885A CN 104695950 B CN104695950 B CN 104695950B
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 31
- 238000013277 forecasting method Methods 0.000 title claims abstract description 14
- 238000012360 testing method Methods 0.000 claims abstract description 85
- 239000012530 fluid Substances 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 29
- 230000035699 permeability Effects 0.000 claims abstract description 28
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 16
- 239000011159 matrix material Substances 0.000 claims description 29
- 239000011435 rock Substances 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 238000006467 substitution reaction Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 3
- 239000003292 glue Substances 0.000 claims 1
- 238000009738 saturating Methods 0.000 claims 1
- 238000005516 engineering process Methods 0.000 description 6
- 238000005553 drilling Methods 0.000 description 4
- 241000208340 Araliaceae Species 0.000 description 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
- 239000003129 oil well Substances 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000007796 conventional method Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000012466 permeate Substances 0.000 description 1
- 238000011160 research Methods 0.000 description 1
Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Geology (AREA)
- Mining & Mineral Resources (AREA)
- Physics & Mathematics (AREA)
- Environmental & Geological Engineering (AREA)
- Fluid Mechanics (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geochemistry & Mineralogy (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The present invention relates to oil reservoir capability forecasting technical field, it is a kind of Volcanic Reservoir PRODUCTION FORECASTING METHODS, carries out in the steps below：The first step, the oil reservoir for collecting target block Pressure Curve in Oil Testing Well in itself or faces the oil reservoir basic parameter of similar oil reservoir, including single well productivity Q, penetrates out reservoir thickness h, oil volume factor B0, comprehensive skin factor s, perforation productivity ratio PR, free-boundary problem λ, well testing permeability K after pressures, strata pressure pe, stream pressure pw, wellbore radius rw, fluid viscosity u, pressure-break it is long, wherein, well testing permeability K after pressuresUnit be mD, strata pressure Pe, stream pressure PwUnit be MPa, wellbore radius rwUnit be m, fluid viscosity u unit is MPas.The present invention is more targeted compared to existing analogy method capability forecasting, and precision is higher, precision can be brought up into more than 60% by the method for the present invention, to explore formation testing, selecting layer etc. to provide a kind of good method.
Description
Technical field
It is a kind of Volcanic Reservoir PRODUCTION FORECASTING METHODS the present invention relates to oil reservoir capability forecasting technical field.
Background technology
With going deep into for oil-gas exploration, Exploration Domain will face more volcanic rock reservoirs, their direct shadow of capability forecasting
That rings drilling well obtains oil gas rate, and how by capability forecasting, raising obtains oil gas rate precision, is asked as the current technology for being badly in need of solving
Topic.Although the method for reservoir evaluation is more, for volcanic rock complicated reservoirs condition integrated system assessment technique study compared with
It is few.With deepening continuously that Volcanic Reservoir is developed, oil well well logging, analytical test and well test analysis technology pair how are comprehensively utilized
Volcanic Reservoir carries out capability forecasting and increasingly paid close attention to by people, and this is directly connected to oil field prospecting level and exploration is imitated
Really, thus carry out this respect research just have important theory significance and practical significance.The precision of capability forecasting, is directly determined
Potentiality layer whether formation testing, capability forecasting technology, from test Well Test Technology, applied to the overall process of exploration and development, both at home and abroad
There are substantial amounts of volcanic reservoirs, the prospect pit capability forecasting work of volcanic reservoirs at this stage is also in exploration rank both at home and abroad
Section, it is known that analogy method PRODUCTION FORECASTING METHODS it is poor to Volcanic Reservoir capability forecasting effect, precision of prediction generally be less than 40%,
The correlation technique of external major company belongs to company's core secrecy technology, and nothing can refer to method.
The content of the invention
The invention provides a kind of Volcanic Reservoir PRODUCTION FORECASTING METHODS, the deficiency of above-mentioned prior art is overcome, its energy
Effectively solve pre- to Volcanic Reservoir production capacity for known analogy method PRODUCTION FORECASTING METHODS in terms of Volcanic Reservoir capability forecasting
Survey the problem of effect is poor.
The technical scheme is that realized by following measures：A kind of Volcanic Reservoir PRODUCTION FORECASTING METHODS, is pressed
Following step is carried out：The first step, the oil reservoir for collecting target block Pressure Curve in Oil Testing Well in itself or faces the oil reservoir of similar oil reservoir and joined substantially
Number, including single well productivity Q, penetrate out reservoir thickness h, oil volume factor B0, comprehensive skin factor s, perforation productivity ratio PR, start
Well testing permeability K after barometric gradient λ, pressures, strata pressure pe, stream pressure pw, wellbore radius rw, fluid viscosity u, pressure-break it is long, its
In, well testing permeability K after pressuresUnit be mD, strata pressure Pe, stream pressure PwUnit be MPa, wellbore radius rwUnit be
M, fluid viscosity u unit are MPas；
Second step, productivity prediction model formula is substituted into by each parameter being collected into the first step
In obtain comprehensive fitting coefficient x values, wherein, Qd is hole
Fluid reserves, Qd is reservoir hole storage of the target block tried to achieve by using volumetric method in Pressure Curve in Oil Testing Well feed flow radius
Amount, t reaches the fixed output quota duration of stable productivity, feed flow radius R for Pressure Curve in Oil Testing WelleFor matrix supply oil radius and the long sum of pressure-break,
Unit is m, and matrix supply oil radius uses the matrix supply oil radius of Pressure Curve in Oil Testing Well；
3rd step, the rock core of detection target block obtains fracture opening b, fracture porosity Φf、Tri- ginsengs of fracture length h
Any two parameter and tortuosity τ and fracture spacing ρ in numberf, and the parameter of the rock core detected is substituted into mat surface crack
Flow model in porous media formulaMiddle calculating obtains fracture permeabgility Kf, then collect target
The matrix permeability K values of Block predictions well, by KfFormula is brought into KIn calculate and tried after the pressure of prediction
Well permeability Ks, wherein, a1=1.4165, a2=1.1498, a3=0.1132, a4=0.9132 in formula；
4th step, by well testing permeability K after the pressure of predictionsPermeated with well testing after the target block actual pressure of Pressure Curve in Oil Testing Well
Rate KsIt is fitted, if degree of fitting is less than 0.9, repeats second step process, until well testing permeability K after the pressure of predictionsWith target area
Block well testing permeability K after the actual pressure of Pressure Curve in Oil Testing WellsAfter being fitted, degree of fitting is more than or equal to 0.9, obtains qualified prediction
Pressure after well testing permeability Ks, unit is mD；
5th step, collects the oil deposit parameter that target block is logged well in advance, including penetrate out reservoir thickness h, oil volume factor B0、
Comprehensive skin factor s, perforation productivity ratio PR, free-boundary problem λ, strata pressure pe, stream pressure pw, wellbore radius rw, fluid viscosity
U, pressure-break are long, wherein, strata pressure Pe, stream pressure PwUnit be MPa, feed flow radius Re, wellbore radius rwUnit be m, stream
Body viscosity u unit is MPas；What is obtained in oil deposit parameter and the 4th step that the target block being collected into is logged well in advance is qualified
Prediction pressure after well testing permeability KsSubstitute into productivity prediction model formula
In calculate the single well productivity Q that target block is logged well in advance,
Wherein：
Qd is hole fluid reserves, and Qd is the target block tried to achieve by using volumetric method Pressure Curve in Oil Testing Well feed flow radius
Interior reservoir hole reserves, t reaches the fixed output quota duration of stable productivity, feed flow radius R for Pressure Curve in Oil Testing WelleFor matrix supply oil radius with
The long sum of pressure-break, unit is m, and matrix supply oil radius uses the matrix supply oil radius of Pressure Curve in Oil Testing Well.
Here is the further optimization and/or improvements to foregoing invention technical scheme：
Above-mentioned pre- well logging is carried out after formation testing, the formation testing production capacity actually recorded, by the formation testing production capacity actually recorded and in advance
The single well productivity of survey carries out accuracy test, if error is less than or equal to 40%, the forecast model can continue on for lower a bite mesh
Mark the oil reservoir production capacity logged well in advance to be predicted, if error is more than 40%, need to analyze reason, if each parameter calculates errorless, will need to be somebody's turn to do
Well data substitute into original x value model of fit, again fitting amendment x values.
When the fluid of the underground of the above-mentioned target block when selection is oil, the fluid viscosity u of substitution is from the viscous of corresponding oil
Degree, when the fluid of the underground of the target block of selection is water, the fluid viscosity u of substitution selects the viscosity of water.
A length of Pressure Curve in Oil Testing Well reaches the average fixed output quota duration of stable productivity during above-mentioned fixed output quota；Matrix supply oil radius is using
The matrix supply oil radius average value of Pressure Curve in Oil Testing Well.
The present invention is more targeted compared to existing analogy method capability forecasting, and precision is higher, passes through the method energy of the present invention
Precision is brought up to more than 60%, to explore formation testing, selecting layer etc. to provide a kind of good method.
Brief description of the drawings
Fig. 1 is present invention process schematic flow sheet.
Fig. 2 is prediction data in the present invention and actual oil production fitted figure.
Fig. 3 is prediction data in the present invention and actual oil production fitted figure（Exclude gas well）.
Fig. 4 is revised prediction data in the present invention and actual oil production fitted figure（Exclude gas well）.
Embodiment
The present invention is not limited by following embodiments, can technique according to the invention scheme and actual conditions it is specific to determine
Embodiment.Unless stated otherwise, the method used in the present invention is the art conventional method.
Embodiment 1, as shown in Figure 1, the Volcanic Reservoir PRODUCTION FORECASTING METHODS are carried out in the steps below：The first step, is received
The oil reservoir of collection target block Pressure Curve in Oil Testing Well in itself or faces the oil reservoir basic parameter of similar oil reservoir, including single well productivity Q, penetrates out storage
Layer thickness h, oil volume factor B0, comprehensive skin factor s, perforation productivity ratio PR, free-boundary problem λ, after pressure well testing permeate
Rate Ks, strata pressure pe, stream pressure pw, wellbore radius rw, fluid viscosity u, pressure-break it is long, wherein, well testing permeability K after pressuresList
Position is mD, strata pressure Pe, stream pressure PwUnit be MPa, wellbore radius rwUnit be m, fluid viscosity u unit is MPa
s；
Second step, productivity prediction model formula is substituted into by each parameter being collected into the first step
In obtain comprehensive fitting coefficient x values, wherein：
Qd is hole fluid reserves, and Qd is the target block tried to achieve by using volumetric method Pressure Curve in Oil Testing Well feed flow radius
Interior reservoir hole reserves, t reaches the fixed output quota duration of stable productivity, feed flow radius R for Pressure Curve in Oil Testing WelleFor matrix supply oil radius with
The long sum of pressure-break, unit is m, and matrix supply oil radius uses the matrix supply oil radius of Pressure Curve in Oil Testing Well；
3rd step, the rock core of detection target block obtains fracture opening b, fracture porosity Φf、Tri- ginsengs of fracture length h
Any two parameter and tortuosity τ and fracture spacing ρ in numberf, and the parameter of the rock core detected is substituted into mat surface crack
Flow model in porous media formulaMiddle calculating obtains fracture permeabgility Kf, then collect target
The matrix permeability K values of Block predictions well, by KfFormula is brought into KIn calculate and tried after the pressure of prediction
Well permeability Ks, wherein, a1=1.4165, a2=1.1498, a3=0.1132, a4=0.9132 in formula；
4th step, by well testing permeability K after the pressure of predictionsPermeated with well testing after the target block actual pressure of Pressure Curve in Oil Testing Well
Rate KsIt is fitted, if degree of fitting is less than 0.9, repeats second step process, until well testing permeability K after the pressure of predictionsWith target area
Block well testing permeability K after the actual pressure of Pressure Curve in Oil Testing WellsAfter being fitted, degree of fitting is more than or equal to 0.9, obtains qualified prediction
Pressure after well testing permeability Ks, unit is mD；
5th step, collects the oil deposit parameter that target block is logged well in advance, including penetrate out reservoir thickness h, oil volume factor B0、
Comprehensive skin factor s, perforation productivity ratio PR, free-boundary problem λ, strata pressure pe, stream pressure pw, wellbore radius rw, fluid viscosity
U, pressure-break are long, wherein, strata pressure Pe, stream pressure PwUnit be MPa, feed flow radius Re, wellbore radius rwUnit be m, stream
Body viscosity u unit is MPas；What is obtained in oil deposit parameter and the 4th step that the target block being collected into is logged well in advance is qualified
Prediction pressure after well testing permeability KsSubstitute into productivity prediction model formula
In calculate the single well productivity Q that target block is logged well in advance,
Wherein：
Qd is hole fluid reserves, and Qd is the target block tried to achieve by using volumetric method Pressure Curve in Oil Testing Well feed flow radius
Interior reservoir hole reserves, t reaches the fixed output quota duration of stable productivity, feed flow radius R for Pressure Curve in Oil Testing WelleFor matrix supply oil radius with
The long sum of pressure-break, unit is m, and matrix supply oil radius uses the matrix supply oil radius of Pressure Curve in Oil Testing Well.
Embodiment 2, as shown in Figure 1, as the preferred of above-described embodiment, pre- well logging is carried out after formation testing, obtains actual record
The formation testing production capacity obtained, carries out accuracy test, if error is less than or equal to by the formation testing production capacity actually recorded and the single well productivity of prediction
40%, then the forecast model can continue on for being predicted the oil reservoir production capacity of lower a bite target prediction well, if error is more than
40%, then need to analyze reason, if each parameter calculates errorless, the well data need to be substituted into original x value model of fit, again fitting amendment x
Value.
Embodiment 3, as shown in Figure 1, as the preferred of above-described embodiment, when the fluid of the underground of the target block of selection
During for oil, the fluid viscosity u of substitution is from corresponding oily viscosity, when the fluid of the underground of the target block of selection is water, generation
The fluid viscosity u entered selects the viscosity of water.
Embodiment 4, as shown in Figure 1, as the preferred of above-described embodiment, a length of Pressure Curve in Oil Testing Well reaches stable production during fixed output quota
The average fixed output quota duration of energy；Matrix supply oil radius is using the matrix supply oil radius average value of Pressure Curve in Oil Testing Well.
The inventive method is further described with certain Chinese Volcanic Reservoir forecast model application example and accompanying drawing below：
1st, the relevant parameter for compiling the existing oil reservoir early stage drilling well of Pressure Curve in Oil Testing Well is shown in Table stratum water viscosity and base in 1, table
Matter supply oil radius uses oil reservoir average value, and remaining is each well parameter of itself.
, by the data of the Pressure Curve in Oil Testing Well compiled existing oil reservoir early stage, substitute into productivity prediction model formula, wherein, mesh
The mark universal agensis hole of block drilling well, therefore Q d Value, which takes, tries to achieve comprehensive fitting coefficient X values after 0, substitution.
, according in table 2 actually convert into oil production data and prediction between set up model of fit, see in Fig. 2, Fig. 2 and substantially deposit
In an abnormity point, the point is pure gas-producing well, illustrates that the model is poor to the capability forecasting precision of gas well, is only adapted to oil well,
Therefore the abnormity point should be excluded in fitting, Fig. 3 is shown in fitting again.The fitting coefficient degree of fitting of visible fitting plate is higher in Fig. 3
Reach that fitting coefficient value is 0.8836 in 0.971, therefore model, so far the oil reservoir productivity prediction model is set up and finished.
, it is new in target block oil reservoir bore drilling well XX19 wells, collect the basic oil reservoir parametric data table of the well as shown in table 3, etc.
After formation testing terminates, contrast prediction production capacity and actual equivalent production capacity（Table 4）, actual capacity data is substituted into productivity prediction model again
Formula asks for plate as shown in figure 4, showing that revised fitting coefficient is 0.8806 in Fig. 4.
The present invention is more targeted compared to existing analogy method capability forecasting, and precision is higher, passes through the method energy of the present invention
Precision is brought up to more than 60%, to explore formation testing, selecting layer etc. to provide a kind of good method.
Above technical characteristic constitutes embodiments of the invention, and it has stronger adaptability and implementation result, can basis
The non-essential technical characteristic of increase and decrease is actually needed, to meet the demand of different situations.
Claims (5)
1. a kind of Volcanic Reservoir PRODUCTION FORECASTING METHODS, it is characterised in that carry out in the steps below：The first step, collects target area
Oil reservoir the oil reservoir basic parameter of block Pressure Curve in Oil Testing Well in itself, including single well productivity Q, penetrate out reservoir thickness h, oil volume factor
B0, comprehensive skin factor s, perforation productivity ratio PR, free-boundary problem λ, well testing permeability K after pressures, strata pressure pe, stream pressure
pw, wellbore radius rw, fluid viscosity u, pressure-break it is long, wherein, well testing permeability K after pressuresUnit be mD, strata pressure Pe, stream
Press PwUnit be MPa, wellbore radius rwUnit be m, fluid viscosity u unit is MPas；
Second step, productivity prediction model formula is substituted into by each parameter being collected into the first step
In obtain comprehensive fitting coefficient x values, wherein：
Qd is hole fluid reserves, and Qd is the target block tried to achieve by using volumetric method in Pressure Curve in Oil Testing Well feed flow radius
Reservoir hole reserves, t reaches the fixed output quota duration of stable productivity, feed flow radius R for Pressure Curve in Oil Testing WelleFor matrix supply oil radius and pressure break
Long sum is stitched, unit is m, and matrix supply oil radius uses the matrix supply oil radius of Pressure Curve in Oil Testing Well；
3rd step, the rock core of detection target block obtains fracture opening b, fracture porosity Φf、In tri- parameters of fracture length h
Any two parameter and tortuosity τ and fracture spacing ρf, and the parameter of the rock core detected is substituted into mat surface fisstured flow
Model formation
Middle calculating obtains fracture permeabgility Kf, then collect target block
The matrix permeability K values logged well in advance, by KfFormula is brought into KIn calculate well testing after the pressure of prediction and ooze
Saturating rate Ks, wherein, a1=1.4165, a2=1.1498, a3=0.1132, a4=0.9132 in formula；
4th step, by well testing permeability K after the pressure of predictionsWith well testing permeability K after the target block actual pressure of Pressure Curve in Oil Testing Wells
It is fitted, if degree of fitting is less than 0.9, repeats second step process, until well testing permeability K after the pressure of predictionsWith target block
Well testing permeability K after the actual pressure of Pressure Curve in Oil Testing WellsAfter being fitted, degree of fitting is more than or equal to 0.9, obtains qualified prediction
Well testing permeability K after pressures, unit is mD；
5th step, collects the oil deposit parameter that target block is logged well in advance, including penetrate out reservoir thickness h, oil volume factor B0, it is comprehensive
Skin factor s, perforation productivity ratio PR, free-boundary problem λ, strata pressure pe, stream pressure pw, wellbore radius rw, fluid viscosity u, pressure
Crack is long, wherein, strata pressure Pe, stream pressure PwUnit be MPa, feed flow radius Re, wellbore radius rwUnit be m, fluid glue
The unit for spending u is MPas；What is obtained in oil deposit parameter and the 4th step that the target block being collected into is logged well in advance is qualified pre-
Well testing permeability K after the pressure of surveysSubstitute into productivity prediction model formulaFall into a trap
The single well productivity Q that target block is logged well in advance is calculated, wherein, Qd is hole fluid reserves, and Qd is tried to achieve by using volumetric method
The reservoir hole reserves of target block in Pressure Curve in Oil Testing Well feed flow radius, t is when Pressure Curve in Oil Testing Well reaches the fixed output quota of stable productivity
It is long, feed flow radius ReFor matrix supply oil radius and the long sum of pressure-break, unit is m, and matrix supply oil radius is using Pressure Curve in Oil Testing Well
Matrix supply oil radius.
2. Volcanic Reservoir PRODUCTION FORECASTING METHODS according to claim 1, it is characterised in that pre- well logging is carried out after formation testing, is obtained
To the formation testing production capacity actually recorded, the formation testing production capacity actually recorded and the single well productivity of prediction are subjected to accuracy test, if error
Less than or equal to 40%, then the forecast model can continue on for being predicted the oil reservoir production capacity of lower a bite target prediction well, if by mistake
Difference is more than 40%, then needs to analyze reason, if each parameter calculates errorless, the well data need to be substituted into original x value model of fit, intended again
Close amendment x values.
3. Volcanic Reservoir PRODUCTION FORECASTING METHODS according to claim 1 or 2, it is characterised in that when the target block of selection
Underground fluid for oil when, the fluid viscosity u of substitution from corresponding oil viscosity, when the stream of the underground of the target block of selection
When body is water, the fluid viscosity u of substitution selects the viscosity of water.
4. Volcanic Reservoir PRODUCTION FORECASTING METHODS according to claim 1 or 2, it is characterised in that a length of formation testing during fixed output quota
Well reaches the average fixed output quota duration of stable productivity；Matrix supply oil radius is using the matrix supply oil radius average value of Pressure Curve in Oil Testing Well.
5. Volcanic Reservoir PRODUCTION FORECASTING METHODS according to claim 3, it is characterised in that a length of Pressure Curve in Oil Testing Well during fixed output quota
Reach the average fixed output quota duration of stable productivity；Matrix supply oil radius is using the matrix supply oil radius average value of Pressure Curve in Oil Testing Well.
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| CN105093313B (en) * | 2015-07-07 | 2017-07-07 | 中国地质大学（北京） | A kind of Karst-type oil reservoir individual well oil and gas productivity prediction method and device |
| CN107435528B (en) * | 2016-05-20 | 2020-08-07 | 中国石油天然气股份有限公司 | Volcanic gas reservoir gas well production allocation method |
| CN107563899B (en) * | 2016-06-30 | 2021-04-30 | 中国石油天然气股份有限公司 | Oil-gas well productivity prediction method and device |
| CN107165625B (en) * | 2017-06-15 | 2020-07-28 | 中国海洋石油集团有限公司 | Method for predicting steady-state capacity of partially jet-opened oil well of thick-layer carbonate reservoir |
| CN109427019A (en) * | 2017-08-30 | 2019-03-05 | 中国石油化工股份有限公司 | The quick calculation method of shallow-layer lithologic gas reservoirs rational productivity |
| CN109492840A (en) * | 2017-09-11 | 2019-03-19 | 中国石油天然气股份有限公司 | A kind of method that the individual well daily oil production of oil reservoir is not employed in determination |
| CN107944620B (en) * | 2017-11-21 | 2021-11-09 | 西南石油大学 | Nonlinear prediction method for single-well steady-state production performance |
| CN108180006B (en) * | 2017-12-25 | 2021-03-30 | 中国石油天然气股份有限公司 | Horizontal well productivity prediction method based on formation energy uplift after volume fracturing |
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| CN113627639A (en) * | 2020-05-07 | 2021-11-09 | 中国石油化工股份有限公司 | Well testing productivity prediction method and system for carbonate fracture-cave reservoir |
| CN114233270B (en) * | 2021-12-14 | 2023-08-22 | 西安石油大学 | Bottom water heavy oil reservoir horizontal well productivity prediction method |
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| US7389185B2 (en) * | 2005-10-07 | 2008-06-17 | Halliburton Energy Services, Inc. | Methods and systems for determining reservoir properties of subterranean formations with pre-existing fractures |
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| US7660670B2 (en) * | 2006-10-27 | 2010-02-09 | Schlumberger Technology Corporation | Sanding advisor |
| CN100543758C (en) * | 2007-11-20 | 2009-09-23 | 中国海洋石油总公司 | Output prediction system for emission hole complete well |
| CN101906966A (en) * | 2010-07-16 | 2010-12-08 | 中国石油天然气股份有限公司 | Method and device for forecasting reservoir yield |
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| CN202914062U (en) * | 2012-09-26 | 2013-05-01 | 中国石油天然气股份有限公司 | Device for predicting capacity of fractured-porous oil reservoir |
| CN103590827B (en) * | 2013-11-22 | 2016-03-02 | 中国石油化工集团公司 | Based on the compact clastic rock natural gas well PRODUCTION FORECASTING METHODS of Reservoir Classification |
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